Bismart takes MWC 2017 your Magic Mirror system with facial recognition and data analysis

The technology company participates these days in the mobility contest of Barcelona to show this magic mirror, as well as the Predictive Maintenance solution; its novelties in big data and artificial intelligence.

The Magic Mirror system of Bismart is a personal shopper programmed in the mirror of the store that, previous scan of the face, recommends to the client the garment that best suits him. This magic mirror that the company shows in MWC 2017 in Barcelona responds to market demand in search of behaviour patterns, hidden in the data, to discover new customer segments, identify buying behaviors and even avoid accidents.

Through facial recognition technology based on Microsoft Cortana Intelligence Suite, Magic Mirror offers customers an unusual shopping experience. The tool streamlines the buyer's process by proposing and suggesting potential items and trends for the customer, all based on emotions, tastes, the customer's interests and purchase history.

Suggestions come from a personal shopper BOT programmed in the store mirror, providing the customer with an innovative point of contact with the store and the brand. The operation is simple: the customer just has to walk to the mirror and let the tool recognize who they are and show their personal profile.

Magic Mirror will recognize customer traits, and analyze if you prefer the latest seasonal trends, buy a more casual garment or an item with the reduced price. The client visualizes images of himself with the suggested costumes, being able to choose the clothes and accessories that best combine you.

In addition, Magic Mirror allows the customer to connect to social networks and share the images of advance purchases with their friends, receiving live feedback and feedback. Once you have chosen your purchase, the system gives you useful information such as the exact location of the item in the store, and the boxes with less waiting in which you can make the payment.

For Albert Isern, CEO of Bismart, "analyze behavior, the needs and attitude of the consumer to have a better knowledge of customers is one of the main uses of artificial intelligence. Companies use, to a greater or lesser extent, big data techniques to capture, treat and analyze gigantic volumes of data to predict the future. That is the goal. Anticipate".

Predictive maintenance technology uses complex statistical models, combined with the Internet of Things (Internet of Things – Iot), to predict when, where and why machinery failures will occur, optimizing maintenance tasks and increasing user satisfaction.

specifically, predictive maintenance makes use of complex statistical models based on all the information collected from sensors connected to the network (Iot), which allows you to know in advance when, where and why machinery failures will occur, For example, optimizing the work of maintenance teams and increasing user satisfaction.

Another of the projects of the technological Bismart is EBC Brussels, where you collaborate with your predictive maintenance solution for healthcare. The division Microsoft Western Europe has a permanent facility in its demonstration center (Executive Briefing Center – EBC), located in the Belgian capital, which has been called Cities of the future (cities of the future), that contemplates future projections and where data analysis will take, machine learning and IoT.

This solution detects air pollution that, combined with other variables, such as traffic congestion, changes in weather and emergency room admission history for respiratory illnesses, provides early warnings of potentially dangerous levels of air pollution in a city in real time, allowing governments to take preventive measures to prevent serious harm to the health of their population.

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